Pythagorean fuzzy time series approach based on hybrid high-order artificial neural network for nonlinear time series forecasting.
- DOI
- 10.1038/s41598-026-58132-7
- Published
- 2026 Jun 16
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-58132-7,
title = {Pythagorean fuzzy time series approach based on hybrid high-order artificial neural network for nonlinear time series forecasting.},
author = {Gundogdu O and Egrioglu E and Bas E},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-58132-7},
url = {https://doi.org/10.1038/s41598-026-58132-7}
}RIS
TY - JOUR TI - Pythagorean fuzzy time series approach based on hybrid high-order artificial neural network for nonlinear time series forecasting. AU - Gundogdu O AU - Egrioglu E AU - Bas E PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-58132-7 UR - https://doi.org/10.1038/s41598-026-58132-7 ER -
APA
O, G., E, E., & E, B. (2026). Pythagorean fuzzy time series approach based on hybrid high-order artificial neural network for nonlinear time series forecasting.. Scientific reports. https://doi.org/10.1038/s41598-026-58132-7